CN113581131B - Cleaning method for dust attached to windshield and intelligent glasses - Google Patents
Cleaning method for dust attached to windshield and intelligent glasses Download PDFInfo
- Publication number
- CN113581131B CN113581131B CN202110923304.5A CN202110923304A CN113581131B CN 113581131 B CN113581131 B CN 113581131B CN 202110923304 A CN202110923304 A CN 202110923304A CN 113581131 B CN113581131 B CN 113581131B
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- dust
- windshield
- intelligent glasses
- cleaning
- vehicle
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- 239000000428 dust Substances 0.000 title claims abstract description 158
- 239000011521 glass Substances 0.000 title claims abstract description 78
- 238000004140 cleaning Methods 0.000 title claims abstract description 50
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000004590 computer program Methods 0.000 claims description 5
- 239000004984 smart glass Substances 0.000 claims description 3
- 230000006399 behavior Effects 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 8
- 208000034699 Vitreous floaters Diseases 0.000 description 2
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
- B60S1/00—Cleaning of vehicles
- B60S1/02—Cleaning windscreens, windows or optical devices
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
- B60S1/00—Cleaning of vehicles
- B60S1/02—Cleaning windscreens, windows or optical devices
- B60S1/04—Wipers or the like, e.g. scrapers
- B60S1/06—Wipers or the like, e.g. scrapers characterised by the drive
- B60S1/08—Wipers or the like, e.g. scrapers characterised by the drive electrically driven
- B60S1/0818—Wipers or the like, e.g. scrapers characterised by the drive electrically driven including control systems responsive to external conditions, e.g. by detection of moisture, dirt or the like
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
- G02B2027/0178—Eyeglass type
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- General Physics & Mathematics (AREA)
- Optics & Photonics (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Studio Devices (AREA)
- Image Analysis (AREA)
Abstract
The method for cleaning dust attached to the windshield and the intelligent glasses comprises the following steps: s1: detecting whether dust exists in the area of the windshield of the vehicle by using intelligent glasses, and entering the step S2 when judging that the area of the windshield has dust; s2: judging whether the dust is positioned on the windshield, and entering a step S3 when the dust is positioned on the windshield; s3: the intelligent glasses send out dust cleaning signals outwards, so that the vehicle can clean dust on the windshield. According to the method, dust attached to the windshield can be cleaned by using the intelligent glasses, so that the intelligent glasses can better assist driving behaviors.
Description
Technical Field
The invention relates to the technical field of vehicle auxiliary driving, in particular to a method for cleaning dust attached to a windshield, intelligent glasses and a vehicle-mounted connector.
Background
Smart glasses, as a wearable device, have been increasingly used in people's lives. Because the intelligent glasses need to be worn on eyes of people, visual and auditory information is directly provided for users, the users can acquire the information of the intelligent glasses without additional manual operation or distraction, so that the intelligent glasses can be tightly combined with a vehicle driving auxiliary function, traffic accidents caused by distraction of the driver can be effectively reduced, driving safety is ensured, and driving behaviors are better assisted.
How to make intelligent glasses better assist driving behavior becomes a major concern for manufacturers and laboratories of various large vehicles.
Disclosure of Invention
In view of the above, the invention provides a method for cleaning dust attached to a windshield and intelligent glasses, which can clean the dust attached to the windshield by using the intelligent glasses, so that the intelligent glasses can better assist driving behaviors.
The invention provides a method for cleaning dust attached to a windshield, which comprises the following steps:
s1: detecting whether dust exists in the area of the windshield of the vehicle by using intelligent glasses, and entering the step S2 when judging that the area of the windshield has dust;
s2: judging whether the dust is positioned on the windshield, and entering a step S3 when the dust is positioned on the windshield;
s3: the intelligent glasses send out dust cleaning signals outwards so that the vehicle can clean dust on the windshield;
after the intelligent glasses send out dust cleaning signals, the intelligent glasses collect images when the vehicle wiper swings, and judge whether the wiper can block dust according to the collected images;
when the windshield wiper stops dust, the dust is judged not to be positioned on the windshield, and a dust cleaning signal is not sent outwards.
Further, in performing step S1, the method includes:
collecting an image of the area where the front windshield is located through a camera on the intelligent glasses;
identifying a windshield and dust according to the acquired image;
judging whether dust is overlapped with the position of the windshield, and judging that the dust exists in the area of the windshield when the dust is overlapped with the windshield.
Further, in performing the step S2, the method further includes:
recording the time point when dust exists in the area where the windshield is located;
the intelligent glasses send first request information outwards, and the first request information requests to acquire the on-vehicle environment information at the time point and the on-vehicle environment information at the time point;
when the outside of the vehicle is not in the first negative environment and the inside of the vehicle is not in the second negative environment, judging that dust is attached to the windshield; the first negative environment is an environment in which the number of airborne flotage in the vehicle exterior environment is greater than a first set threshold, and the second negative environment is an environment in which the number of airborne flotage in the vehicle interior environment is greater than a second set threshold.
Further, the second request information also requests to acquire state information of the camera of the intelligent glasses;
when the cameras of the intelligent glasses are in a cleaning state without dust adhesion, the outside of the automobile is not in a first negative environment, and the inside of the automobile is not in a second negative environment, the fact that dust is adhered to the windshield is judged.
Further, when the cameras of the intelligent glasses are not in a cleaning state, the intelligent glasses send out a prompt that the cameras need to be cleaned.
Further, in performing the step S2, the method further includes:
the intelligent glasses measure the azimuth and the distance of the dust relative to the intelligent glasses through a range finding camera, and measure the azimuth and the distance of the windshield relative to the intelligent glasses at the position coinciding with the dust;
judging whether the positions of the dust and the windshield are overlapped or not;
and when the positions of the dust and the windshield are overlapped, judging that the dust is positioned on the windshield.
Further, in performing the step S2, the method further includes:
the intelligent glasses send second request information outwards, and the second request information requests to acquire whether the vehicle is in a traveling state or not;
when the vehicle is in a running state, acquiring images of the area where the windshield is positioned for a plurality of times at set time intervals, and judging the movement trend of the dust relative to the windshield according to the acquired images;
when the dust is stationary relative to the windshield, it is determined that the dust is located on the windshield.
Further, after the intelligent glasses send out dust cleaning signals, the intelligent glasses collect images when the vehicle wiper swings, and judge whether the wiper can block dust according to the collected images;
when the wiper does not block the dust, the intelligent glasses collect images of the windshield after the wiper stops, and judge whether the dust is removed or not;
and when the dust is not removed, sending out a dust cleaning signal again.
Further, when the number of times of sending out the dust cleaning signal is larger than the set number of times, if the dust is judged to be not cleaned, a reminding message is sent out.
The invention also provides the intelligent glasses, which comprise a computer storage medium, wherein the computer storage medium comprises a computer program, and the computer program is executed to realize the method for cleaning the dust attached to the windshield.
In summary, by using the method for cleaning dust attached to the windshield provided by the invention, whether dust exists on the windshield or not can be judged through the intelligent glasses, and after the dust exists on the windshield, the dust is cleaned through the vehicle, so that the intelligent glasses can better assist driving behaviors.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention, as well as the preferred embodiments thereof, together with the following detailed description of the invention, given by way of illustration only, together with the accompanying drawings.
Drawings
Fig. 1 is a flowchart of a method for cleaning dust attached to a windshield according to a first embodiment of the present invention.
Fig. 2 is a schematic diagram of the judgment logic in fig. 1 when judging whether dust is attached to the windshield.
Fig. 3 is a schematic diagram of a logic diagram for determining whether dust is attached to a windshield according to a second embodiment of the present invention.
Fig. 4 is a schematic diagram of a third embodiment of the present invention for determining whether dust is attached to a windshield.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description is given with reference to the accompanying drawings and preferred embodiments.
The invention provides a method for cleaning dust attached to a windshield and intelligent glasses.
Fig. 1 is a flowchart of a method for cleaning dust attached to a windshield according to a first embodiment of the present invention, and fig. 2 is a schematic diagram of a judgment logic of the method for cleaning dust attached to a windshield according to the first embodiment of the present invention. As shown in fig. 1 and 2, the method for cleaning dust attached to a windshield according to the first embodiment of the present invention includes the following steps:
s1: the intelligent glasses detect whether dust exists in the area where the windshield of the vehicle is located, and when judging that dust exists in the area where the windshield is located, the intelligent glasses enter the step S2;
in this embodiment, this step may specifically include:
acquiring an image of an area where a front windshield is located through a camera on the intelligent glasses;
identifying a windshield and dust according to the acquired image;
judging whether dust is overlapped with the position of the windshield, and judging that the area of the windshield is provided with dust when the dust is overlapped with the position of the windshield.
S2: judging whether the dust is positioned on the windshield, and entering the step S3 when the dust is positioned on the windshield;
in this embodiment, this step may specifically include:
recording a time point when dust exists in the area where the windshield is positioned;
the intelligent glasses send out first request information, wherein the first request information requests to acquire the on-vehicle external environment information at the time point and the on-vehicle internal environment information at the time point;
specifically, after the vehicle acquires the information, a front image can be acquired through the front camera, whether the vehicle exterior environment is a first negative environment with the number of floating objects in the air being larger than a first set threshold value is judged according to the image acquired by the front camera, and the judgment result is transmitted to the intelligent glasses.
After the vehicle acquires the information, an in-vehicle image can be acquired through the in-vehicle camera, whether the in-vehicle environment is a second negative environment with the number of the floating objects in the air being larger than a second set threshold value or not is judged according to the image acquired by the in-vehicle camera, and the judgment result is transmitted to the intelligent glasses.
And when the outside of the vehicle is not in the first negative environment and the inside of the vehicle is not in the second negative environment, judging that dust is attached to the windshield.
Through the steps, the influence of floaters in the environment outside the vehicle on the judgment result can be eliminated. The possibility of misjudgment under the condition that the vehicle is in a dust-free day and a dust-free road section is reduced. Meanwhile, the influence of floaters in the vehicle environment on the judgment result can be eliminated, and the possibility of misjudgment under the conditions of smoke and the like of passengers in the vehicle is reduced.
Further, the first request information may further request to obtain status information of a camera of the smart glasses;
specifically, after the vehicle acquires the first request information, whether the camera of the intelligent glasses is in a cleaning state without dust adhesion can be judged according to the image acquired by the camera in the vehicle.
When the outside of the vehicle is not in the first negative environment, the inside of the vehicle is not in the second negative environment, and the cameras of the intelligent glasses are in a cleaning state, the fact that dust is attached to the windshield is judged.
Further, when the camera of the intelligent glasses is not in a cleaning state, namely dust exists on the intelligent glasses, the intelligent glasses send out a prompt that the camera needs to be cleaned.
S3: the intelligent glasses send out dust cleaning signals outwards to enable the vehicle to clean dust on the windshield.
After the vehicle receives the dust cleaning signal, the vehicle may spray glass water onto the windshield and activate the wipers to clean the windshield of dust.
Further, when the vehicle cleans the windshield, the intelligent glasses can also collect images when the windshield wiper swings, and whether the windshield wiper can block dust is judged according to the collected images;
when the wiper does not block dust, collecting an image of a rear windshield of the wiper, and judging whether the dust is removed or not; when the dust is not removed, sending out a dust cleaning signal again;
when the wiper stops dust, namely, the wiper is positioned between the dust and the windshield, the dust can be judged not to be positioned on the windshield; no dust cleaning signal is sent out.
Further, after the dust cleaning signal of the set times is sent, if the dust is not clear, a reminding message is sent outwards to remind a user to manually clear or confirm the dust position.
In this embodiment, whether there is dust on the windshield can be judged through intelligent glasses to after judging that there is dust on the windshield, clear up this dust through the vehicle, this can make intelligent glasses can assist driving action better.
Fig. 3 is a schematic diagram of a logic diagram for determining whether dust is attached to a windshield according to a second embodiment of the present invention. As shown in fig. 3, in the second embodiment of the present invention, in judging whether the dust is located on the windshield, it may include the steps of:
measuring the azimuth and the distance of dust relative to the intelligent glasses by using a ranging camera on the intelligent glasses; measuring the azimuth and the distance of the windshield relative to the intelligent glasses at the position overlapped with the dust;
judging whether the positions of dust and a windshield are overlapped or not;
when the positions of the dust and the windshield are coincident, the dust is judged to be positioned on the windshield.
Fig. 4 is a schematic diagram of a third embodiment of the present invention for determining whether dust is attached to a windshield. As shown in fig. 4, in the third embodiment of the present invention, in judging whether the dust is located on the windshield, it may include the steps of:
the intelligent glasses send out second request information, and the second request information requests to acquire whether the vehicle is in a traveling state or not; after the vehicle acquires the request information, the traveling state of the vehicle may be acquired from the vehicle speed sensor.
When the vehicle is in a running state, acquiring images of the area where dust is located for a plurality of times at set time intervals, and judging the movement trend of the dust relative to the windshield according to the images acquired for a plurality of times;
when the dust is stationary relative to the windshield, it is determined that the dust is located on the windshield.
In summary, by using the method for cleaning dust attached to the windshield provided by the invention, whether dust exists on the windshield or not can be judged through the intelligent glasses, and after the dust exists on the windshield, the dust is cleaned through the vehicle, so that the intelligent glasses can better assist driving behaviors.
The invention also provides an intelligent glasses, which comprises a computer storage medium, wherein the computer storage medium comprises a computer program, and when the computer program is executed, the method for cleaning the dust attached to the windshield is realized, and other technical characteristics of the intelligent glasses are referred to in the prior art and are not repeated herein.
The present invention is not limited to the above-mentioned embodiments, but is intended to be limited to the following embodiments, and any modifications, equivalent changes and variations in the above-mentioned embodiments can be made by those skilled in the art without departing from the scope of the present invention.
Claims (10)
1. A method for cleaning dust attached to a windshield, characterized by: the method comprises the following steps:
s1: detecting whether dust exists in the area of the windshield of the vehicle by using intelligent glasses, and entering the step S2 when judging that the area of the windshield has dust;
s2: judging whether the dust is positioned on the windshield, and entering a step S3 when the dust is positioned on the windshield;
s3: the intelligent glasses send out dust cleaning signals outwards so that the vehicle can clean dust on the windshield;
after the intelligent glasses send out dust cleaning signals, the intelligent glasses collect images when the vehicle wiper swings, and judge whether the wiper can block dust according to the collected images;
when the windshield wiper stops dust, the dust is judged not to be positioned on the windshield, and a dust cleaning signal is not sent outwards.
2. A method of cleaning windshield dust as claimed in claim 1, wherein: in carrying out step S1, the method comprises:
collecting images of the area where the windshield is located through a camera on the intelligent glasses;
identifying a windshield and dust according to the acquired image;
judging whether the dust coincides with the position of the windshield, and judging that the dust exists in the area of the windshield when the dust coincides with the windshield.
3. A method of cleaning windshield dust as claimed in claim 1, wherein: in performing the step S2, the method further includes:
recording the time point when dust exists in the area where the windshield is located;
the intelligent glasses send first request information outwards, and the first request information requests to acquire the on-vehicle environment information at the time point and the on-vehicle environment information at the time point;
when the outside of the vehicle is not in the first negative environment and the inside of the vehicle is not in the second negative environment, judging that dust is attached to the windshield; the first negative environment is an environment in which the number of airborne flotage in the vehicle exterior environment is greater than a first set threshold, and the second negative environment is an environment in which the number of airborne flotage in the vehicle interior environment is greater than a second set threshold.
4. A method of cleaning windshield adhesion dust as recited in claim 3, wherein: the first request information also requests to acquire the state information of the camera of the intelligent glasses;
when the cameras of the intelligent glasses are in a cleaning state without dust adhesion, the outside of the automobile is not in a first negative environment, and the inside of the automobile is not in a second negative environment, the fact that dust is adhered to the windshield is judged.
5. A method of cleaning windshield adhesion dust as recited in claim 4, wherein: when the cameras of the intelligent glasses are not in a cleaning state, the intelligent glasses send out a prompt that the cameras need to be cleaned.
6. A method of cleaning windshield dust as claimed in claim 1, wherein: in performing the step S2, the method further includes:
the intelligent glasses measure the azimuth and the distance of the dust relative to the intelligent glasses through a range finding camera, and measure the azimuth and the distance of the windshield relative to the intelligent glasses at the position coinciding with the dust;
judging whether the positions of the dust and the windshield are overlapped or not;
and when the positions of the dust and the windshield are overlapped, judging that the dust is positioned on the windshield.
7. A method of cleaning windshield dust as claimed in claim 1, wherein:
in performing the step S2, the method further includes:
the intelligent glasses send second request information outwards, and the second request information requests to acquire whether the vehicle is in a traveling state or not;
when the vehicle is in a running state, acquiring images of the area where the dust is located for a plurality of times at set time intervals, and judging the movement trend of the dust relative to the windshield according to the acquired images;
when the dust is stationary relative to the windshield, it is determined that the dust is located on the windshield.
8. A method of cleaning windshield dust as claimed in claim 1, wherein: after the intelligent glasses send out dust cleaning signals, the intelligent glasses collect images when the vehicle wiper swings, and judge whether the wiper can block dust according to the collected images;
when the wiper does not block the dust, the intelligent glasses collect images of the windshield after the wiper stops, and judge whether the dust is removed or not;
and when the dust is not removed, sending out a dust cleaning signal again.
9. A method of cleaning windshield adhesion dust as recited in claim 8, wherein: when the number of times of sending out the dust cleaning signal is larger than the set number of times, if the dust is judged to be not cleaned, a reminding message is sent out.
10. An intelligent glasses, characterized by: the smart glasses comprising a computer storage medium comprising a computer program which, when executed, implements the method of cleaning windshield adhesion dust of any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110923304.5A CN113581131B (en) | 2021-08-12 | 2021-08-12 | Cleaning method for dust attached to windshield and intelligent glasses |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110923304.5A CN113581131B (en) | 2021-08-12 | 2021-08-12 | Cleaning method for dust attached to windshield and intelligent glasses |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113581131A CN113581131A (en) | 2021-11-02 |
| CN113581131B true CN113581131B (en) | 2023-08-08 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202110923304.5A Active CN113581131B (en) | 2021-08-12 | 2021-08-12 | Cleaning method for dust attached to windshield and intelligent glasses |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2477494Y (en) * | 2001-01-22 | 2002-02-20 | 刘栖锝 | All-weather motor vehicle windshield wiper |
| CN104442711A (en) * | 2013-09-25 | 2015-03-25 | 福特全球技术公司 | Autonomous vehicle window clearing system and readable medium |
| CN104477135A (en) * | 2014-11-20 | 2015-04-01 | 沈杰 | Rainproof self-cleaning type automobile reflector and water removal device for side windows of automobile |
| CN107209856A (en) * | 2015-02-11 | 2017-09-26 | 高通股份有限公司 | Environment scene condition detection |
| CN108202698A (en) * | 2016-12-20 | 2018-06-26 | 现代自动车株式会社 | Rain sensor, the vehicle using rain sensor and the method that controls the vehicle |
| CN109241818A (en) * | 2017-07-11 | 2019-01-18 | 松下电器（美国）知识产权公司 | Attachment detection method and device and system, attachment learning method and device, program |
-
2021
- 2021-08-12 CN CN202110923304.5A patent/CN113581131B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2477494Y (en) * | 2001-01-22 | 2002-02-20 | 刘栖锝 | All-weather motor vehicle windshield wiper |
| CN104442711A (en) * | 2013-09-25 | 2015-03-25 | 福特全球技术公司 | Autonomous vehicle window clearing system and readable medium |
| CN104477135A (en) * | 2014-11-20 | 2015-04-01 | 沈杰 | Rainproof self-cleaning type automobile reflector and water removal device for side windows of automobile |
| CN107209856A (en) * | 2015-02-11 | 2017-09-26 | 高通股份有限公司 | Environment scene condition detection |
| CN108202698A (en) * | 2016-12-20 | 2018-06-26 | 现代自动车株式会社 | Rain sensor, the vehicle using rain sensor and the method that controls the vehicle |
| CN109241818A (en) * | 2017-07-11 | 2019-01-18 | 松下电器（美国）知识产权公司 | Attachment detection method and device and system, attachment learning method and device, program |
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| CN113581131A (en) | 2021-11-02 |
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Effective date of registration: 20231101 Address after: Floors 3-7, Building T3, No. 377 Songhong Road, Changning District, Shanghai, 200000 Patentee after: Shanghai Jiayu Intelligent Technology Co.,Ltd. Address before: Room 8041, 1033 Changning Road, Changning District, Shanghai 200042 (9th floor, nominal floor) Patentee before: Shanghai xianta Intelligent Technology Co.,Ltd. |
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